In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

When evaluating classifiers it is common to use accuracy, precision and recall as well as Hamming loss.  It has been shown that when calculating precision and recall on multi-label classifiers, it can be advantageous to use micro averaged precision and recall BIBREF6 . The formulas for micro averaged precision are expressed as DISPLAYFORM0 DISPLAYFORM1 
 Question: what evaluation metrics are discussed?
precision  recall  Hamming loss micro averaged precision and recall 